• DocumentCode
    2279803
  • Title

    Knotless spline noise removal technique for improved OHCR

  • Author

    Lajish, V.L. ; Pandey, Vinod Kumar ; Kopparapu, Sunil Kumar

  • Author_Institution
    TCS Innovation Labs. - Mumbai, Tata Consultancy Services Ltd., Thane, India
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    305
  • Lastpage
    308
  • Abstract
    Noise in on-line hand written characters due to natural shaking of the hand and noise due to the process of digitization is inherent and this can lead to a degraded performance of character recognition system. In this paper, we propose a noise removal technique based on knotless spline. We first show that its noise removal property is independent of the amount of noise unlike the traditional Gaussian smoothing and further show that the noise removal can significantly enhance the performance of the character recognition algorithm. We specifically perform experiments with Devanagari data and show that the noise removal can enhance the performance of character recognition by as much as 10%.
  • Keywords
    Gaussian processes; handwritten character recognition; image denoising; optical character recognition; smoothing methods; Devanagari data; Gaussian smoothing; character recognition system; improved OHCR; knotless spline noise removal technique; natural hand shaking; on-line hand written characters; Character recognition; Handwriting recognition; Noise measurement; Signal to noise ratio; Smoothing methods; Spline; Gaussian filters; On-line Handwritten Character Recognition; knotless spline; smoothing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing (ICSIP), 2010 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-8595-6
  • Type

    conf

  • DOI
    10.1109/ICSIP.2010.5697488
  • Filename
    5697488